The 8 Pillars of Our Diagnosis

1. Allopathy (Modern Medicine)

  • Uses advanced diagnostic tools like blood tests, imaging (X-ray, CT, MRI), and genetic panels.
  • Helps identify structural, pathological, and biochemical abnormalities.
  • Provides the baseline clinical picture and immediate symptom status.

2. Ayurveda

  • Assesses the patient’s Prakriti (body constitution) and Vikriti (current imbalance).
  • Diagnoses Dosha imbalances (Vata, Pitta, Kapha), Agni (digestive fire), Ama (toxins), and affected Dhatus (body tissues).
  • Identifies root lifestyle, diet, and mental patterns causing internal imbalance much before structural damage.

3. Homeopathy

  • Analyzes the patient’s complete constitution — physical, mental, emotional.
  • Identifies individualized energetic patterns of disease.
  • Maps the subtle underlying energy disturbances often missed by other systems, contributing to long-term disease patterns.

4. Medical Astrology

  • Assesses planetary influences affecting organ systems, emotional health, and disease tendencies.
  • Diagnoses timing of disease triggers, susceptibility of organs, and healing periods.
  • Adds a cosmic dimension to understanding chronic, repeating, or unexplained health conditions.

5. Diet & Lifestyle Analysis

  • Diagnoses the impact of daily food, sleep, activity, and habits on health.
  • Identifies epigenetic triggers (how lifestyle choices activate or suppress genes).
  • Maps how dietary mistakes and poor routines contribute silently to disease formation over time.

6. Genetics

  • Screens for genetic vulnerabilities (e.g., predispositions for diabetes, cancer, heart disease, autoimmune disorders).
  • Maps how inherited factors influence metabolism, detoxification, immunity, and emotional resilience.
  • Integrates with Ayurveda and Diet analysis for targeted preventive strategies.

7. Bioresonance & Biofeedback

  • Uses energy field scanning to detect vibrational disturbances in organs, tissues, and cells.
  • Measures the stress levels, toxin loads, organ vitality, and energy blockages.
  • Provides early, pre-clinical insights into functional imbalances even before lab tests show abnormalities.

8. AI Indicators

  • Predicts future health risks by analyzing collected diagnostic data points.
  • Uses pattern recognition to detect subtle warning signs.
  • Supports personalized treatment planning by forecasting potential disease progressions, emotional breakdown points, and stress-related vulnerabilities.